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Giulia De Santis
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2010 – 2019
- 2018
- [b1]Giulia De Santis:
Modeling and Recognizing Network Scanning Activities with Finite Mixture Models and Hidden Markov Models. (Modélisation et reconnaissance des activités de balayage du réseau à l'aide de modèles à mélange fini et de modèles de Markov cachés). University of Lorraine, Nancy, France, 2018 - [c3]Giulia De Santis, Abdelkader Lahmadi, Jérôme François, Olivier Festor:
Internet-Wide Scanners Classification using Gaussian Mixture and Hidden Markov Models. NTMS 2018: 1-5 - 2017
- [c2]Julio Navarro, Véronique Legrand, Sofiane Lagraa, Jérôme François, Abdelkader Lahmadi, Giulia De Santis, Olivier Festor, Nadira Lammari, Fayçal Hamdi, Aline Deruyver, Quentin Goux, Morgan Allard, Pierre Parrend:
HuMa: A Multi-layer Framework for Threat Analysis in a Heterogeneous Log Environment. FPS 2017: 144-159 - 2016
- [c1]Giulia De Santis, Abdelkader Lahmadi, Jérôme François, Olivier Festor:
Modeling of IP Scanning Activities with Hidden Markov Models: Darknet Case Study. NTMS 2016: 1-5
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last updated on 2024-04-25 05:50 CEST by the dblp team
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